Rui Figueiredo

TL;DR: Using synthetic datasets that are not necessarily photo-realistic can be a better alternative to simply fine-tune pre-trained networks and show an impressive 25% improvement in the mAP metric over a fine-tuning baseline.

TL;DR: Vizzy is introduced, a wheeled humanoid robot with an anthropomorphic upper torso that combines easy mobility, grasping ability, human-like visual perception, eye-head movements and arm gestures, and the humanoid appearance improves user acceptance and facilitates interaction.

TL;DR: A probabilistic logic approach for robot grasping is proposed, which improves grasping capabilities by leveraging semantic object parts and provides the robot with semantic reasoning skills about the most likely object part to be grasped, given the task constraints and object properties, while also dealing with the uncertainty of visual perception and grasp planning.

TL;DR: The issues involved in taking educational role-play into a virtual environment with intelligent graphical characters, who implement a cognitive appraisal system and autonomous action selection are considered.

TL;DR: In this paper, the authors consider the issues involved in taking educational role-play into a virtual environment with intelligent graphical characters, who implement a cognitive appraisal system and autonomous action selection, and discuss issues in organizing emergent narratives with respect to a Story Facilitator as well as the impact on the authoring process.